Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Build an end-to-end data engineering pipeline for real-time YouTube Analytics in this comprehensive tutorial. Learn to fetch data from the YouTube API using Python, set up a Kafka ecosystem with Docker and Confluent containers, process and stream data using ksqlDB, and send real-time notifications to Telegram. Explore advanced Python concepts and Google Cloud configuration for YouTube. Gain hands-on experience with technologies such as Python, Google Cloud, Docker, and Telegram. Follow along as the instructor guides you through setting up the system architecture, obtaining a YouTube API key, streaming data to Kafka, and connecting to external systems. By the end of this tutorial, you'll have created a powerful pipeline that notifies you instantly of any activity on your chosen YouTube videos or playlists.